000 03955nam a22004695i 4500
001 978-0-387-77790-0
003 DE-He213
005 20161121231210.0
007 cr nn 008mamaa
008 100301s2008 xxu| s |||| 0|eng d
020 _a9780387777900
_9978-0-387-77790-0
024 7 _a10.1007/978-0-387-77789-4
_2doi
050 4 _aQH301-705
072 7 _aPSA
_2bicssc
072 7 _aSCI086000
_2bisacsh
082 0 4 _a570
_223
100 1 _aClaude, Julien.
_eauthor.
245 1 0 _aMorphometrics with R
_h[electronic resource] /
_cby Julien Claude.
264 1 _aNew York, NY :
_bSpringer New York,
_c2008.
300 _aXVIII, 317 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aUse R
505 0 _aAcquiring and Manipulating Morphometric Data -- Traditional Statistics for Morphometrics -- Modern Morphometrics Based on Configurations of Landmarks -- Statistical Analysis of Outlines -- Statistical Analysis of Shape using Modern Morphometrics -- Going Further with R.
520 _aQuantifying shape and size variation is essential in evolutionary biology and in many other disciplines. Since the "morphometric revolution of the 90s," an increasing number of publications in applied and theoretical morphometrics emerged in the new discipline of statistical shape analysis. The R language and environment offers a single platform to perform a multitude of analyses from the acquisition of data to the production of static and interactive graphs. This offers an ideal environment to analyze shape variation and shape change. This open-source language is accessible for novices and for experienced users. Adopting R gives the user and developer several advantages for performing morphometrics: evolvability, adaptability, interactivity, a single and comprehensive platform, possibility of interfacing with other languages and software, custom analyses, and graphs. The book explains how to use R for morphometrics and provides a series of examples of codes and displays covering approaches ranging from traditional morphometrics to modern statistical shape analysis such as the analysis of landmark data, Thin Plate Splines, and Fourier analysis of outlines. The book fills two gaps: The gap between theoreticians and students by providing worked examples from the acquisition of data to analyses and hypothesis testing. The gap between user and developers by providing and explaining codes for performing all the steps necessary for morphometrics rather than providing a manual for a given software or package. Students and scientists interested in shape analysis can use the book as a reference for performing applied morphometrics, while prospective researchers will learn how to implement algorithms or interfacing R for new methods. In addition, adopting the "R" philosophy will enhance exchanges within and outside the morphometrics community. Julien Claude is evolutionary biologist and palaeontologist at the University of Montpellier 2 where he got his Ph.D. in 2003. He works on biodiversity and phenotypic evolution of a variety of organisms, especially vertebrates. He teaches evolutionary biology and biostatistics to undergraduate and graduate students and has developed several functions in R for the package APE.
650 0 _aLife sciences.
650 0 _aComputer software.
650 0 _aStatistics.
650 1 4 _aLife Sciences.
650 2 4 _aLife Sciences, general.
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
650 2 4 _aMathematical Software.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387777894
830 0 _aUse R
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-387-77789-4
912 _aZDB-2-SMA
950 _aMathematics and Statistics (Springer-11649)
999 _c509998
_d509998